AI agent tools for computer vision
Short answer: Our top pick for computer vision: screenpipe, with the highest AgentPick Score (81/100) among tools tagged "computer-vision". Runners-up: video-search-and-summarization (70) and geo-sleuth (59). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | screenpipe | YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power … | 81/100 | ★ 22k | See repo | 14 Oct 2026 |
| #2 | video-search-and-summarization | NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real… | 70/100 | ★ 1.9k | See repo | 14 Oct 2026 |
| #3 | geo-sleuth | An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work… | 59/100 | ★ 2.8k | MIT | 14 Oct 2026 |
| #4 | nuphus-mcp | Desktop automation MCP server — computer use for any AI agent: control screen, windows, mouse/keyboard, and Chrome via Model Context Protocol (stdio).… | 59/100 | ★ 325 | MIT | 13 Oct 2026 |
| #5 | sparrow | Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM | 57/100 | ★ 5.2k | GPL-3.0 | 8 Oct 2026 |
| #6 | Interactive-LLM-Powered-NPCs | Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮�… | 37/100 | ★ 731 | MIT | 20 Sept 2026 |
| #7 | imagesorcery-mcp | An MCP server providing tools for image processing operations | 30/100 | ★ 333 | MIT | 19 May 2026 |
| #8 | virtualhome | API to run VirtualHome, a Multi-Agent Household Simulator | 28/100 | ★ 637 | MIT | 20 May 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Read the license before using it commercially.
- Check how recently it was updated and how active its issues are.
- Run it on a small, low-risk task first.
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